• Journal of Distribution Science
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• v.22 no.5
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• pp.117-129
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• 2024

Purpose: This research aims to explore the ramifications of job stress on cabin crews within the air service distribution sector, specifically examining its impact on service quality through mediating variables such as job satisfaction and engagement during the pandemic era. Research design, data and methodology: The study is based on a sample size of 312 individuals, exclusively comprising cabin crews employed in the airline industry. Methodologically, Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) were employed for statistical analysis. Results: The findings reveal that both performance evaluation and job responsibility exerted a significant impact on both job satisfaction and job engagement. Furthermore, job engagement demonstrated a substantial influence on service quality. However, in contrast, factors like unstable employment and the working environment showed no significant impact on either job satisfaction or engagement. Additionally, job satisfaction did not exert a significant influence on service quality. Conclusions: These insights will offer the valuable guidance to the airline industry in preparing for unforeseen external environments that may affect the industry. As the aviation sector navigates the challenges posed by the pandemic, understanding and addressing the intricate relationships among job stress, satisfaction, engagement, and service quality will be crucial for effective industry resilience and adaptation.

• Journal of Distribution Science
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• v.22 no.6
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• pp.23-32
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• 2024

Purpose: Trade in small and medium businesses must improve innovation performance before and after the COVID-19 pandemic. The requirement for rapid innovation is being able to compete and survive post-pandemic. This research attempts to investigate the influence of organizational forgetting, knowledge management, and business agility in distributing innovation performance improvementsto SMEs in Tasikmalaya, Indonesia. Research design, data and methodology: In this research, a structural equation modeling approach with SmartPLS was applied. This research used 221 Tasikmalaya SMEs as samples. The findings of this study show that SMEs are still underrepresented in technological advancement. Results: Organizational forgetfulness does not have a significant impact on innovation performance, nor does it have an indirect impact through knowledge management. Business agility, on the other hand, has a significant indirect effect on innovation performance. Knowledge management does not have a significant and direct impact on innovation performance, but business agility has a significant impact. Conclusions: Efforts to enhance SMEs' trade must be willing to challenge the status quo or abandon knowledge that is no longer relevant to current developments to improve business agility and innovation. Technology-oriented SMEs can quickly become agile by implementing organizational forgetting. SME owners must be willing to adapt to technological advances to adopt organizational forgetfulness.

• Safety and Health at Work
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• v.14 no.4
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• pp.488-491
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• 2023

This study aims to ascertain occupations potentially at greatest risk of exposure to SARS-CoV-2 based on pre-lockdown working conditions in France. We combined two French population-based surveys documenting workplace exposures to infectious agents, face-to-face contact with the public, and working with colleagues just before the pandemic. Then, for each 87-level standard French occupational grouping, we estimated the number and percentage of the French working population reporting these occupational exposure factors, by gender, using survey weights. As much as 40% (11 million) of all workers reported at least two exposure factors. Most of the workers concerned were in the healthcare sector. However, army/police officers, firefighters, hairdressers, teachers, cultural/sports professionals, and some manual workers were also exposed. Women were overrepresented in certain occupations with potentially higher risks of exposure such as home caregivers, childminders, and hairdressers. Our gender-stratified matrix can be used to assign prelockdown work-related exposures to cohorts implemented during the pandemic.

• Pediatric Infection and Vaccine
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• v.31 no.1
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• pp.12-24
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• 2024

The number of pediatric coronavirus disease 2019 (COVID-19) cases worldwide are increasing compared to the early phase of the pandemic, along with highly transmissible severe acute respiratory syndrome coronavirus variant and the increase in adult COVID-19 vaccination. We conducted a rapid systematic review and meta-analysis of published randomized clinical trials (RCTs) of the COVID-19 vaccines and the observational retrospective studies on adverse events after COVID-19 vaccination in adolescents. Seventeen studies were finally included in this systematic review. Meta-analysis showed that although vaccination in adolescents was significantly effective to prevent COVID-19 infection in retrospective studies (risk ratio [RR], 0.29; 95% confidence interval [CI], 0.22-0.37; I² =100%), however the effect of preventing COVID-19 infection was lower than in RCTs (RR, 0.05; 95% CI, 0.01-0.27). In five retrospective studies, the pooled estimated proportion of participants with myocarditis and/or pericarditis was 2.33 per 100,000 of the population (95% CI, 0.97-5.61 per 100,000). Sub-group analysis with sex and vaccine doses showed that male (5.35 per 100,000) and the second dose (9.71 per 100,000) had significantly higher incidence of myocarditis and/or pericarditis than female (1.09 per 100,000) and the first dose (1.61 per 100,000), respectively. Our study showed that mRNA COVID-19 vaccines in adolescent recipients were favorable and effective against COVID-19 in RCT as well as observational studies. The safety findings of BNT162b2 vaccine in adolescents were explored and we found the difference of safety according to sex and vaccine doses. The occurrence of adverse events after mRNA COVID-19 vaccination should be monitored.

• Journal of the Society of Disaster Information
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• v.17 no.4
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• pp.674-683
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• 2021

Purpose: The purpose of this study is to examine the changes in the pattern of crimes caused by the spread and slowdown of coronavirus infections and to devise preventive and countermeasures against various crimes in the future. Method: In order to find out the characteristics of each crime in the non-face-to-face and face-to-face environment, the results of previous prior research and data officially released by the National Police Agency and the prosecution office were compared and analyzed. Result: In the early epidemic of infectious diseases, overall crime has decreased, and civil life-related crimes and crimes targeting the socially disadvantaged are increasing. In the second half of the infectious disease, unlike the first half, the prolonged corona caused the economic recession and unemployment, deepening the damage from illegal private finance and significantly increasing illegal gambling game crimes. Conclusion: According to the time of the outbreak of the COVID-19 pandemic, the quarterly crime characteristics showed that there was a difference in crime type and crime increase and decrease rate, and that crime response measures should be changed accordingly.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.789-795
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• 2020

Many deaths have been reported due to the worldwide pandemic of COVID-19. In order to prevent the further spread of COVID-19, it is necessary to quickly and accurately read images of suspected patients and take appropriate measures. To this end, this paper introduces a deep learning-based COVID-19 chest X-ray reading technique that can assist in image reading by providing medical staff whether a patient is infected. First of all, in order to learn the reading model, a sufficient dataset must be secured, but the currently provided COVID-19 open dataset does not have enough image data to ensure the accuracy of learning. Therefore, we solved the image data number imbalance problem that degrades AI learning performance by using a Stacked Generative Adversarial Network(StackGAN++). Next, the DenseNet-based classification model was trained using the augmented data set to develop the reading model. This classification model is a model for binary classification of normal chest X-ray and COVID-19 chest X-ray, and the performance of the model was evaluated using part of the actual image data as test data. Finally, the reliability of the model was secured by presenting the basis for judging the presence or absence of disease in the input image using Grad-CAM, one of the explainable artificial intelligence called XAI.

• The Journal of Pediatrics of Korean Medicine
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• v.35 no.4
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• pp.16-33
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• 2021

Objectives This study aims to provide directions for future Korean pediatric medicine treatment and researches by analyzing the characteristics of diseases of Korean pediatric outpatients before and after the COVID-19 epidemic. Methods We analyzed the medical records of 10,868 new patients aged 0-18 who visited the Korean pediatrics at Kyung Hee university hospital from January 1, 2019 to June 30, 2021. All patients were divided into 2 groups; patients who visited from January 1, 2019 to December 31, 2019, before the coronavirus epidemic, and patients who visited from January 1, 2020 to June 30, 2021, after the coronavirus epidemic. Within the two groups, the diagnosis distribution was performed for the entire population, by gender and by age group. Diagnoses were classified as allergy, growth, gastrointestinal, respiratory, general body supplementation, neuropsychiatric, skin, urogenital, musculoskeletal, and other systems. Results According to the comparative analysis results of before and after the COVID epidemic, there was a decreasing trend of diagnoses in relates to allergy, respiratory, urogenital, musculoskeletal system. On the other side, there was an increasing trend in gastrointestinal, general body supplementation, growth, neuropsychiatric, skin and other system. Changes in diagnosis based on gender and age group will be described below. Conclusions This study analyzed the characteristics of diseases of Korean pediatric outpatients before and after the COVID-19 epidemic, and suggested the direction of future Korean medicine treatment and researches for pediatrics. Also, this study aimed to propose proper treatments for children by showing the role of Korean pediatric medicine related to growth and development of children during the epidemic. However, this study has limitations such as failure to track the long-term impact of COVID-19. Thus, long term follow-up studies are needed to show the effect of COVID-19 on Korean pediatric medicine.

• Journal of the Korean Applied Science and Technology
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• v.38 no.2
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• pp.587-594
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• 2021

The purpose of this study is to examine how college students' stress coping in the post-corona era affect leisure constraint negotiations. To achieve the purpose of this study, from January 25th to February 19th, 2021, 247 copies were used for this study, excluding 13 questionnaires from Jeonbuk, Jeonnam, and Busan. For data analysis, descriptive statistics, confirmatory factor analysis, ANOVA and hierarchical regression analysis were performed using SPSS 21.0 and AMOS 18.0. As a result, there was a difference in leisure constraint negotiations according to changes in the types of leisure before and after COVID-19. According to the stress coping method of college students, it appears that it has a positive effect on the part of leisure constraint negotiations, so it is necessary to consider a detailed approach to the coping plan. In particular, it was confirmed that the active stress coping method(Active problem solving, Social support seeking) had a positive effect on the leisure constraint negotiations. Therefore, future research will require efforts to verify their relationship with various approaches to leisure constraints, leisure constraints negotiations, and stress and stress response strategies with COVID-19.

• Tuberculosis and Respiratory Diseases
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• v.84 no.2
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• pp.125-133
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• 2021

Background: The coronavirus disease (COVID-19) can manifest in a range of symptoms, including both asymptomatic systems which appear nearly non-existent to the patient, all the way to the development of acute respiratory distress syndrome (ARDS). Specifically, COVID-19-associated pneumonia develops into ARDS due to the rapid progression of hypoxia, and although arterial blood gas analysis can assist in halting this deterioration, the current environment provided by the COVID-19 pandemic, which has led to an overall lack of medical resources or equipment, has made it difficult to administer such tests in a widespread manner. As a result, this study was conducted in order to determine whether the levels of oxygen saturation (SpO₂) and the fraction of inhaled oxygen (FiO₂) (SF ratio) can also serve as predictors of ARDS and the patient's risk of mortality. Methods: This was a retrospective cohort study conducted from February 2020 to Mary 2020, with the study's subjects consisting of COVID-19 pneumonia patients who had reached a state of deterioration that required the use of oxygen therapy. Of the 100 COVID-19 pneumonia cases, we compared 59 pneumonia patients who required oxygen therapy, divided into ARDS and non-ARDS pneumonia patients who required oxygen, and then investigated the different factors which affected their mortality. Results: At the time of admission, the ratios of SpO₂, FiO₂, and SF for the ARDS group differed significantly from those of the non-ARDS pneumonia support group who required oxygen (p<0.001). With respect to the predicting of the occurrence of ARDS, the SF ratio on admission and the SF ratio at exacerbation had an area under the curve which measured to be around 85.7% and 88.8% (p<0.001). Multivariate Cox regression analysis identified that the SF ratio at exacerbation (hazard ratio [HR], 0.916; 95% confidence interval [CI], 0.846-0.991; p=0.029) and National Early Warning Score (NEWS) (HR, 1.277; 95% CI, 1.010-1.615; p=0.041) were significant predictors of mortality. Conclusion: The SF ratio on admission and the SF ratio at exacerbation were strong predictors of the occurrence of ARDS, and the SF ratio at exacerbation and NEWS held a significant effect on mortality.

• Journal of Environmental Health Sciences
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• v.46 no.6
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• pp.750-756
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• 2020

Objectives: After coronavirus disease 2019 (COVID-19) was declared a pandemic, the South Korean government announced guidelines on wearing masks to prevent its spread. The guidelines have changed depending on the severity of the spread of COVID-19. This study aimed to identify mask-wearing behaviours to counter the spread of COVID-19 in indoor and outdoor environments. Methods: The type of mask worn and proper wearing were observed in cafés, supermarkets, underground shopping malls, and streets in Seoul. Behavioral assessment was repeated in August at social distancing levels 1 and 2, in October at social distancing level 1, and in November after the mask mandates. Results: In August, 22.1% of subjects in cafés, 90.8% in supermarkets, 91.8% in underground shopping malls, and 83.6% on outdoor streets wore masks properly. In October, the proportion of correct wearers increased in all locations. After masks became mandatory in November, about 97% of users of supermarkets, underground shopping malls, and streets wore masks properly. In cafés, the proportion of proper wearers was 61.5% with both social distancing level 2 in August and the mandate in November. The number of KF-certified mask wearers continued to increase from August to November. Conclusion: This study investigated mask-wearing behaviors to counter COVID-19 through observations in indoor and outdoor places in Seoul. Mask-wearing behavior was different depending on the place and the government guidelines in place. The results could be used for evaluation of the current guidelines for COVID-19.